Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject EM algorithm
Showing results 1 to 2 of 2
| Issue Date | Title | Author(s) |
|---|---|---|
| 2019 | A computationally efficient correlated mixed probit model for credit risk inference | Tosetti, E; Vinciotti, V |
| 29-Aug-2019 | Heteroscedastic and Heavy-tailed Regression with Mixtures of Skew Laplace Normal Distributions | Yu, K; Doğru, FZ |